How does idiomatic language pose challenges for MT?

Mar 24, 2024 ... Machine translation, the automated conversion of text from one language to another, has a rich history. The field originated during World War II. The NLP group at Notre Dame is interested in all aspects of NLP, with a focus on machine translation and connections with formal language theory. Nov 25, 2023 ... Natural language processing (NLP) and Machine Translation (MT) methods can be used to automatically translate these terms. This scoping review ... Abstract: Machine translation is the process of using computers to convert one natural language into another natural language, shouldering the important ... ... AfricaNLP on "The Low-resource NLP Toolbox, 2020 Version". ... 2016-2-16: I wrote a chapter on machine translation for the new Iwanami data science book series on ... Machine translation is the task of translating a sentence in a source language to a different target language. Results with a * indicate that the mean test ... In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware ... Machine Translation of the universal edition. Machine Translation provides high-quality translation between Chinese and English. It adopts Alibaba's advanced ... Machine Translation (MT) is an important area of Natural Language Processing (NLP) and a crucial application for an increasingly globalized world. Although ... Machine translation is the task of translating a sentence in a source language to a different target language. Approaches for machine translation can range ...